runway-deploy-integration
Runway deploy integration — AI video generation and creative AI platform. Use when working with Runway for video generation, image editing, or creative AI. Trigger with phrases like "runway deploy integration", "runway-deploy-integration", "AI video generation".
Best use case
runway-deploy-integration is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Runway deploy integration — AI video generation and creative AI platform. Use when working with Runway for video generation, image editing, or creative AI. Trigger with phrases like "runway deploy integration", "runway-deploy-integration", "AI video generation".
Teams using runway-deploy-integration should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/runway-deploy-integration/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How runway-deploy-integration Compares
| Feature / Agent | runway-deploy-integration | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Runway deploy integration — AI video generation and creative AI platform. Use when working with Runway for video generation, image editing, or creative AI. Trigger with phrases like "runway deploy integration", "runway-deploy-integration", "AI video generation".
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# Runway Deploy Integration
## Overview
Implementation patterns for Runway deploy integration — AI video generation platform.
## Prerequisites
- Completed `runway-install-auth` setup
## Instructions
### Step 1: SDK Pattern
```python
from runwayml import RunwayML
client = RunwayML()
task = client.image_to_video.create(
model='gen3a_turbo',
prompt_text='A serene lake at dawn, mist rising, birds flying',
duration=5,
)
result = task.wait_for_task_output()
if result.status == 'SUCCEEDED':
print(f"Video: {result.output[0]}")
```
## Output
- Runway integration for deploy integration
## Error Handling
| Error | Cause | Solution |
|-------|-------|----------|
| 401 Unauthorized | Invalid API key | Check RUNWAYML_API_SECRET |
| 402 Insufficient credits | No credits | Add credits at dev.runwayml.com |
| Task FAILED | Content policy | Adjust prompt |
## Resources
- [Runway API Documentation](https://docs.dev.runwayml.com/)
- [Python SDK](https://github.com/runwayml/sdk-python)
## Next Steps
See related Runway skills for more workflows.Related Skills
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